电控发动机排气温度动态估计算法

对电控发动机排气温度与其影响因素之间的关系进行了深入分析,采用模型与统计拟合相结合的方法构建了一种新的排气温度估计算法。该算法综合考虑了多个影响因素,并着重对EGR率的影响规律进行了分析。考虑发动机工作过程的多个延迟环节,将算法扩展应用于动态过程的排气温度估计,并得到了基于循环的离散表达式。试验证明该算法在稳态和动态时都能取得较好的估计效果。     

基于 MFXLMS算法的汽车发动机振动主动控制研究

为了降低发动机工作时引起的整车振动,提出了使用多通道滤波x-LMS （MFXLMS） 算法作为主动悬置系统的控制算法。以发动机转速信号作为参考信号,主动悬置安装位置下方的两路加速度信号作为误差信号。根据算法完成试验平台搭建。采用白噪声电压信号作为输入激励,通过 LMS算法离线辨识得到主动悬置到加速度传感器的多路次级通道,在dSPACE上完成实车控制试验。试验结果表明,MFXLMS算法的运用显著降低了发动机不同转速工况下引起的测点加速度响应,提高了整车的乘坐舒适性。     

汽车发动机主动悬置模糊PID控制策略研究

应用模糊控制算法对发动机悬置主动控制系统进行了研究,为主动悬置系统设计了一种混合型模糊PID控制器。系统隔振性能仿真结果表明,采用模糊PID控制的主动悬置可以有效降低发动机振动向车身的传递。     

采用遗传算法的汽车发动机模糊控制研究

汽车发动机的参数具有离散性、非线性和不确定性,瞬态过程的过量空气系数和点火时刻难以精确控制。作者针对这一问题,设计了一种基于遗传算法的发动机模糊控制模型,讨论了发动机控制中的硬件平台的实现方式,并在实时在线仿真的基础上提出了采用遗传算法对模糊控制参数的自动寻优的方法。实验表明,基于这一控制方式,发动机的动力性和经济性指标有明显的提高。     

并联混合动力电动汽车动态协调控制试验研究

针对并联混合动力汽车在发动机和电动机工作过程中,需要根据路况进行能量分配和工作模式切换的问题,以并联混合动力汽车在状态切换过程中总转矩不发生大的波动为控制目标,提出了"转矩预分配+发动机调速+发动机转矩估计+电动机转矩补偿控制"的动态协调控制策略。借助dSPACE快速控制原型工具,搭建了试验台架,进行了稳态切换控制和动态协调切换控制试验。结果表明,在各种状态切换过程中,动态控制算法能有效控制混合动力系统的转矩波动,保证动力传递的平稳性。     

高压共轨轨压PID控制算法自动代码生成应用研究

运用Matlab/Simulink的Real Time Workshop Embedded Coder模块生成PID控制代码,与发动机控制算法集成,应用于高压共轨柴油机轨道压力控制。通过PCMaster软件监控和标定PID控制参数,在VM R425DOHC柴油机上进行调节,调节后的控制参数取得预期的轨压控制结果。研究结果表明,在发动机控制算法开发中应用自动代码生成技术,可以实现建模和底层代码的分离,加快控制算法的开发。     

Lightweight mixture faults detection method for gasoline engine using on-line trend analysis

Mixture faults detection is meaningful for gasoline engines because proper mixture is the basic prerequisite for healthy running of a combustion engine. Among existing methods for faults detection, the data-driven trend analysis technique is widely used due to the simplicity and efficiency in time-domain. The CUSUM (Cumulative Sum Of Errors) algorithm is good at real-time trend extraction, but it’s easy to be costly on the fuel trim signal during the engine in normal working conditions, which will increase battery energy consumption because engine failure is rarely occurs. Hence, the conventional treatment methods of artifacts in the CUSUM algorithm are modified by means of decay function and detection time analysis. The thresholds are tuned according to the characteristics of artifacts instead of residual variability, which leads to better results of trend extraction and less computation. Then, the revised CUSUM algorithm is used for monitoring the mixture abnormal behaviors, and the mixture faults can be detected in real time through analyzing the variation features of fuel trim signal. The lightweight faults detector using the advanced CUSUM algorithm (FD-A-CUSUM) is evaluated on the experimental data collected from a Ford engine. The validation results show that while engine works under normal conditions, the computation of FD-A-CUSUM has decreased by 72.79 % in comparison with the detection method using the original CUSUM algorithm (FD-O-CUSUM), and the false alarm ratio of FD-A-CUSUM is 3.37 %. Futhermore, the detection results of FD-A-CUSUM for two leakage faults have achieved 91.18 % test accuracy.     

发动机试验台测控系统模糊神经网络控制方法的研究

结合模糊控制、神经网络、遗传算法的优点,提出发动机试验台测控系统模糊神经网络控制方法。利用遗传算法的全局优化策略,避免陷入局部最小点的缺陷。在建立发动机-测功机传动系统动力学模型、发动机有效转矩模型、测功机励磁电流模型的基础上,进行了动态仿真模拟,较好地解决了试验台控制的稳定性及测量的实时准确性问题。     

Motor control of input-split hybrid electric vehicles

A motor control strategy for an input-split hybrid electric vehicle (HEV) is proposed. From a power characteristic analysis, it is found that the powertrain efficiency decreases for speed ratios at which power circulation occurs. Using dynamic models of an input-split HEV powertrain, a motor-generator control algorithm for obtaining high system efficiency is designed by inversion-based control. The performance of the control algorithm is evaluated by the simulator which is developed based on PSAT, and simulation results are compared with the test results. It is found that, even if the engine thermal efficiency is sacrificed by moving the engine operation point from the OOL for the control strategy, improved overall powertrain system efficiency can be achieved by the engine operation that gives a relatively high efficiency from the viewpoint of the overall powertrain efficiency. The control algorithm developed can be used in design of future electric vehicles.     

基于Simulink的柴油引燃式天然气发动机控制模型开发

为了提高柴油引燃式天然气发动机在中小负荷的热效率,采用具备电子节气门的电子控制系统,利用Simulink软件开发了针对该系统的具有电子节气门控制功能的发动机控制模型,通过自动代码生成工具生成嵌入式代码,并下载至发动机控制器进行试验。试验结果表明,该节气门控制算法具有较好的控制效果,发动机控制算法能够有效控制发动机中小负荷的混合气空燃比,明显提高热效率。     

电控柴油机动力系统窜振控制策略研究

根据窜振时发动机转速波动特点设计了滤波器,提取出了窜振特征信息并设计了抑制算法;进一步将算法扩展为基于变采样周期的递推式,使之能应用于喷射控制过程的油量修正;通过对发动机转速波动频率的分析,避免了油量过度修正引起的发动机高频抖动。试验结果表明加速过程的传动系窜振现象能够被有效抑制。     

电控柴油机ECU软件设计及应用

在发动机电控单元(ECU)的“V”开发模式下,完成了电控单体泵柴油机ECU的控制策略算法功能设计和硬件在环仿真。设计了发动机的起动、怠速、智能功率、减速断油和跛行回家等柴油机运行控制策略。对开发的控制策略算法进行了离线仿真,并实现了控制策略程序的自动产品代码生成。在自主开发的ECU硬件在环仿真平台上验证了控制算法的正确性,所设计的ECU软件在电控单体泵柴油机上得到了成功应用。     

Model-Based Integrated Control of Engine and CVT to Minimize Fuel Use

In this study, a model-based integrated control method for engines and continuous variable transmissions (CVTs) is developed. CVT refers to a type of transmission which allows an engine to be operated independently with respect to the vehicle speed, with the engine torque and CVT gear ratio controlled in an integrated manner. In the proposed integrated control scheme, engine operating points which minimize the rate of instantaneous fuel consumption are calculated, and the engine target torque and target gear ratio are determined in an integrated manner based on the results of the calculations. Unlike the previous map-based control method, the method introduced in this study does not require an engine torque map or a CVT ratio map for tuning, and the engine torque and CVT ratio are controlled to minimize the amount of fuel used while satisfying the level of acceleration demand from the driver. The control scheme is based on the powertrain model, and the CVT response lag and transmission loss are also considered in the integrated control processes. The algorithm is simulated with various driving cycles, with the simulation results showing that the fuel economy performance of the vehicle system is improved with the newly suggested engine-CVT integrated control algorithm.     

曲轴、凸轮轴传感器故障时的电控柴油机喷射控制

根据故障传感器类别、发动机运转情况的不同将发动机状态分类,并确定了各状态间的转换条件及传感器失效判断算法。对应不同状态,建立了不同的相位判断算法与喷射控制时序,编写了完整的曲轴、凸轮轴传感器故障时的喷射控制软件。实验结果表明,该喷射控制软件可在曲轴、凸轮轴传感器失效或恢复的情况下维持发动机运转。     

Adaptation Strategy for Exhaust Gas Recirculation and Common Rail Pressure to Improve Transient Torque Response in Diesel Engines

Fuel injection limitation algorithms are widely used to reduce particulate matter (PM) emissions under transient states in diesel engines. However, the limited injection quantity leads to a decrease in the engine torque response under transient states. To overcome this issue, this study proposes an adaptation strategy for exhaust gas recirculation (EGR) and common rail pressure combined with a fuel injection limitation algorithm. The proposed control algorithm consists of three parts: fuel injection limitation, EGR adaptation, and rail pressure adaptation. The fuel injection quantity is limited by adjusting the exhaust burned gas rate, which is predicted based on various intake air states like air mass flow and EGR mass flow. The control algorithm for EGR and rail pressure was designed to manipulate the set-points of the EGR and rail pressure when the fuel injection limitation is activated. The EGR controller decreases the EGR gas flow rate to rapidly supply fresh air under transient states. The rail pressure controller increases the rail pressure set-point to generate a well-mixed air-fuel mixture, resulting in an enhancement in engine torque under transient states. The proposed adaptation strategy was validated through engine experiments. These experiments showed that PM emissions were reduced by up to 11.2 %, and the engine torque was enhanced by 5.4 % under transient states compared to the injection limitation strategy without adaptation.     

Development of an Active Control Engine Mount System

In an attempt to reduce idling vibration and booming noise in automobile engines, the authors have developed an engine mounting system we call the ACM(Active Control engine Mount) system. Comprising a pair of electromagnetic actuators and hydraulic mounts, the system incorporates an adaptive control strategy based on the synchronized filtered-X LMS (SFX) algorithm. The crank angle pulse signal is detected as the synchronization signal and the force transmitted to the car body through the engine mounts is detected as a residual signal. Application of the ACM system to a vehicle with a transversally mounted four-cylinder engine resulted in significantly reduced idling vibration and booming noise.     

Development of an Active Control Engine Mount System

In an attempt to reduce idling vibration and booming noise in automobile engines, the authors have developed an engine mounting system we call the ACM(Active Control engine Mount) system. Comprising a pair of electromagnetic actuators and hydraulic mounts, the system incorporates an adaptive control strategy based on the synchronized filtered-X LMS (SFX) algorithm. The crank angle pulse signal is detected as the synchronization signal and the force transmitted to the car body through the engine mounts is detected as a residual signal. Application of the ACM system to a vehicle with a transversally mounted four-cylinder engine resulted in significantly reduced idling vibration and booming noise.     

发动机液压悬置低频模型参数识别方法的研究

根据悬置低频振动模型,提出了基于DE算法的发动机液压悬置模型识别方法,由简单的低频正弦激振试验直接估计模型的关键参数值,完成模型的参数识别。基于上述理论和试验相结合的模型识别方法可以代替组件试验,识别结果可直接用于复杂结构悬置元件的动特性预测和整车NVH性能研究。     

Shifting control of an automated mechanical transmission without using the clutch

The automated mechanical transmission (AMT) is gaining popularity in the automotive industry, due to its combination of the advantages of mechanical transmissions (MT) and automatic transmissions (AT) in terms of fuel consumption, low cost, improved driving comfort and shifting quality. However, the inherent structural characteristics of the AMT lead to disadvantages, including excessive wear of the clutch plates and jerk and traction interruption during the shift process, that severely affect its popularity in the automatic transmission industry. The emerging technology of shifting control without the use of the clutch is a promising way to improve the shifting transients of AMTs. This paper proposes a control algorithm that combines speed and torque control of the AMT vehicle powertrain to achieve shifting control without using the clutch. The key technologies of accurate engine torque and speed control and rapid position control of the shift actuators are described in detail. To realize accurate engine speed control, a combined control algorithm based on feed-forward, bang-bang and PID control is adopted. Additionally, an optimized closed-loop position control algorithm based on LQR is proposed for the shift actuators. The coordinated control algorithm based on engine and shift actuator control is described in detail and validated on a test vehicle equipped with an AMT. The results show that the coordinated control algorithm can achieve shifting control without the use of the clutch to improve driving comfort significantly, reduce shift transients and extend the service life of the clutch.     

基于 GO 法的车用发动机增压系统可靠性分析

以车用发动机增压系统为例,分别采用 GO 法直接算法、修正算法和精确算法进行了动态可用度计算,并且基于 GO 法对系统进行定性分析。通过与故障树、蒙特卡洛仿真结果对比,验证了 GO 法对车用发动机废气涡轮增压系统可靠性分析的正确性和适用性。